Karadeniz, EsraOzbey, NecatiYeroglu, CelaleddinKahraman, H. Tolga2024-08-042024-08-042018978-1-5386-6878-8https://hdl.handle.net/11616/98677International Conference on Artificial Intelligence and Data Processing (IDAP) -- SEP 28-30, 2018 -- Inonu Univ, Malatya, TURKEYIn this work, proportional-integral-derivative-acceleration (PIDA) controller is designed by using Symbiotic Organisms Search (SOS) algorithm and its robustness against the input disturbance is investigated. In the study, SOS algorithm and performance evaluation of control system are carried out by means of simulation models that are implemented in Matlab/Simulink environment. In this simulation environment, mean square error function of the system is minimized by SOS algorithm to tune PIDA controller coefficients. The PIDA controller is compared with a control system presented in literature and robustness of the PIDA against the disturbance are shown.trinfo:eu-repo/semantics/closedAccessProportional integral derivative acceleration controllerSymbiotic Organisms Searchoptimization algorithmConference Object2-s2.0-85062493197N/AWOS:000458717400078N/A